Multi-objective optimisation of FCAW parameters using grey-based Taguchi with entropy technique

Quality of weld mainly depends on the mechanical properties of the weld, which in turn relays on the interaction of the weld parameters. This paper discusses the multi response optimisation of weld parameters using grey based Taguchi method with entropy technique. Experiments were conducted using Taguchi's orthogonal array. The weld parameters are identified as welding current, arc voltage and electrode stickout with bead hardness and material deposition rate as responses. Based on grey relational grade, optimum levels of parameters have been identified. Significant contributions are estimated using analysis of variance. Confirmation test was conducted to validate the proposed method. Taguchi experimental design for determining welding parameters was successful. It is found that the electrode stickout is a most prominent contribution factor for this welding process. This evaluation procedure can be used in decision-making to select process parameters for a welder. The proposed and developed method has good accuracy and competency.